807 search results - page 20 / 162 » Learning Collaborative Information Filters |
RECSYS
2009
ACM
14 years 3 months ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
SAC
2008
ACM
13 years 8 months ago
2008
ACM
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
GRC
2007
IEEE
13 years 8 months ago
2007
IEEE
Collaborative filtering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper describes an approach for incorporating externally specified aggregate ratings information into certain types of collaborative filtering (CF) methods. For a statistic...
WWW
2005
ACM
14 years 9 months ago
2005
ACM
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...